{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-21T11:16:04.197754Z",
     "start_time": "2018-07-21T11:15:56.256014Z"
    }
   },
   "outputs": [],
   "source": [
    "import utils\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-21T11:16:24.382757Z",
     "start_time": "2018-07-21T11:16:16.046095Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 20/20 [00:05<00:00,  3.63it/s]\n",
      "100%|██████████| 20/20 [00:01<00:00, 11.93it/s]\n"
     ]
    }
   ],
   "source": [
    "tr = utils.load_train()\n",
    "te = utils.load_test()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-21T11:16:52.340886Z",
     "start_time": "2018-07-21T11:16:52.335753Z"
    }
   },
   "outputs": [],
   "source": [
    "tr['data'] = 'train'\n",
    "te['data'] = 'test'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-21T11:17:27.510037Z",
     "start_time": "2018-07-21T11:17:25.675926Z"
    }
   },
   "outputs": [],
   "source": [
    "trte = pd.concat([tr, te], ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-21T11:20:03.007112Z",
     "start_time": "2018-07-21T11:19:51.286112Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79d4750be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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YjtY8PpV1PYtigrtRYahoKkub1+0FVVwNFUuXdJ7VBLeizEsjxWIIGCh53Q8cr3aME3LqAMaBdwH/YYzJGGOGgZ8DO8s/wBhzmzFmpzFmZ19fXwO+glIvQxMJLtjcDsCpmWSNoyGRtquh3AR3W9BHKpsnk8svq11ue/IWT9GzKKyGSqtnoSj10kixeATYJiJbRSQA3AjcXXbM3cB7nedvA35sbMD7CPA6sbQAVwLPNtBWZYmMRVOc0dNCa9DHyak6wlBlOYtI0LnbX2bvwm1PHvEUPYugz4NHSsJQvpB6FopSg4aJhZODuBm4F3gGuNMYs1dEPiYi1zuHfRnoEZH9wIcAd3nt54FWYA9WdP7RGPNko2xVlkYykyOWytHTEqCvLchwHZ5FeYK7xVnOGlvmmRZuHqTFk7EehMeDiBAOeIuf5QtCtrbNirKW8TXyzY0x9wD3lG37SMnzJHaZbPl50UrbleZkzJml3dsapCviZ6qOEanldRaF5azL7Fm4nkpIMuAPFbaH/V5NcCvKAtAKbmXJjEXthbanNUBH2M9korZYpDI5PAJ+r13j0OJ0no0vs2fhtid3R6q6hAMlbco1wa0oNVGxUJbMWNReaHtag3RGAkzG0zVrLRIZ20TQltUwd4XSMhErTMlLzfIsQj4vqYyTTFfPQlFqomKhLBl3aFFn2E9nxE8mZ4p37VVIpPOFGgso8SyWuTDPFR93pKpLKOAtmZanCW5FqYWKhbJkZpJZp3Osl0536l2NvEUymyPkK4qFKxzxGiKzGNugOFK18Hn+8jCUJrgVZT5ULJQlM5PM0h7yISKFedq1xMKdkucS8TcqwW0FwR2p6hLye0qWzgYhp56FosyHioWyZKYTGdpD1qNod6bezSTnFws7Ja/45+fzegj4PMue4I6lsoQDXiSbKA46osyz8GpvKEWphYqFsmSmk1naHJFwR6TW6vPkTskrJRLw2oFEy8hMKmtnfGcS4I8Utof8JQluXwDyWcgvb/W4oqwmVCyUJTOdzBTFIlinWGRyhRoLl5aAb9mL8mKlYhGYLRbFOdxOLkPzFopSFRULZcnMJLO0OWGoQiV2jVVNyUy+omeRaIBYtAS8VizKwlDGQDqX1wFIilIHKhbKkjDGMFPiWXg8tpVGNFUjwV3Bs4gEvcveGyqaytIRyIHJQ6ClsN0VqmSmZFqeLp9VlKqoWChLIpmxjfrcBDfYDrLRZPWLvjGGVGZ2ghusV7LcCW47f9t5T39pBbf9bDuHW8NQilKLhvaGUlY/7qon17MAZzbFPBf9dC5P3lAhDOVrSAV3u88Zm1Ka4PaVtCn32eW+unxWUaqjYqEsiRknbNRaIhatofk9i6Q7yyJQluAOepe1gjuby5PM5OnwOquc/LMruMF6RkXPQnMWilINDUMpS8LNMbiroNzn862GSrpT8nyzxcJt7pfP157hXZ9t9nPafI7HUOJZuPmSxKychYqFolRDxUJZEm6OIRIoCUPVCCeVz98uPQ+o2VeqXqJpd5aFOyWvtILbfnaqVCx0NZSiVEXFQlkSbhFdS7B44a8VhipOyZv957fcnWcLXo/HEYHSBHepZ+F1chbqWShKVeoSCxH5loj8uoiouCizcEM9pZ5FrXna5VPyXNz3WK5aC7eJYBhnGe+sCu6S1VBu/YUmuBWlKvVe/P8OeBewT0Q+LiLnNtAm5TTC9SwipU0Ba8zTLp+SN/e85REL9/MjMtezKNZZ5DVnoSh1UJdYGGPuN8a8G7gMOAT8UER+ISK/KyL++c9WVjOxVA6/V/B7i39KteZpuz2ZKlVwAyQyyxuGCsncBHfQ50FEw1CKUi91h5VEpAf4HeD3gMeBz2DF44cNsUw5LUhkcoXBRS615mlX8yzqbRVSL+6y3qBJgscH3uJ9jYg40/JKw1AqFopSjbrqLETk28C5wFeANxtjTji7vikiuxplnNL8xFLZWSEoKE69q+ZZuDmJap7FcnWejaWy1uvJpWaFoFxCAa/Nn3j9IKKehaLMQ71FeV8yxtxTukFEgsaYlDFmZwPsUk4T4ulcwSNwKY5IrXzRd+ssgr7y1VDL61nEUllrSyY+KwTlEvZ7rJcj4szh1gS3olSj3jDU31bY9svlNEQ5PYmlsoXEtEtLYQlsdc8i5Pfg8cis7SG/B48sn2cx487ZyCQqehZBn9cmuMGKhXoWilKVeT0LEdkAbAbCInIp4P7vbgfm3qopa454Okd3S2DWtogbhqriWaSyc9uTg80jhAPeZZtpMZ3M2gaHVT2L0jncIRULRZmHWmGoq7FJ7X7gkyXbZ4A/a5BNymlELJ2dVWMBdp62SPXiukpT8lyWs/PsdDLD5s4wpGIQaJ2zPxzwMp1wajB8Qe06qyjzMK9YGGPuAO4QkbcaY771ItmknEbEU7lZ1dtgZ1qE/NWbAlaaZeESCfqq5joWynQiw7nr22B6Bto2ztkf9HtIzrhzuDVnoSjzUSsM9R5jzFeBQRH5UPl+Y8wnK5xWev412CW2XmyS/ONl+4PAPwMvAcaA3zLGHHL2XQR8ERvyygOXG2P01q+JyOcNiUxujmcBNm9RzbNIVphl4RLxe4kvQ28oO5QpS3vYD+nYrMFHLmF/yWQ+X1DDUIoyD7XCUO7/sLk+fA1ExAt8HngDMAQ8IiJ3G2OeLjnsfcCEMeZsEbkR+ATwWyLiA74K/F/GmCecGo/5R68pLzruRb186SxYD2G+Cu62YOU/vUjQy0Rs6Xf4iUyOXN7QHvJCagaCbXOOCfnLEtxaZ6EoVakVhvqi8/jRRbz3FcB+Y8xBABH5BnADUCoWNwB/7Ty/C/iciAjwRuBJY8wTzuePLeLzlQZTqdWHS2ug+gCkVCZPX2v1nMXQRGLJtrl9oTr8BvLZimIxJ8GdnFry5yrKaqXeRoL/S0TaRcQvIj8SkVEReU+N0zYDR0teDznbKh5jjMkCU0APcA5gROReEXlMRP6kil03icguEdk1MjJSz1dRlhE3J1FewQ3WQ6haZ5GpnuAOB7zL0kjQTVx3+hxvoVKC2+8llze24aEvoAluRZmHeuss3miMmQbehL3onwP8cY1zpMK28qk21Y7xAa8A3u08vkVEXj/nQGNuM8bsNMbs7Ovrq2GOstzE5vEsWubxLBKZ3JxZFsXzquc6FsK0M+61w+sIQIWcRdDJmyTdlh+a4FaUqtQrFm5TneuArxtjxus4ZwgYKHndDxyvdoyTp+gAxp3tPzHGjBpj4sA92D5UShPhLnGt5llUy1kkMzlCvioJ7oCPbM6QzlZub14v0wlnloXbcTbYPueY2TMtNMGtKPNRr1j8u4g8C+wEfiQifUAtn/0RYJuIbBWRAHAjcHfZMXcD73Wevw34sTHGAPcCF4lIxBGRVzM716E0Aa4YVFoG2xq0noX9dRbJ5vJkcqaqZ+FWgy+1itv1LNpw8h/BuWGoQpvytBOGUs9CUapSb4vyW4CrgJ3GmAwQwyan5zsnC9yMvfA/A9xpjNkrIh8Tkeudw74M9IjIfuBDwC3OuRPYIsBHgN3AY8aY7y/0yymNJTGfZxHwkc8bUmUeQjJbuT25S6325vUyncjgEQjl43ZDlaI8a5N6FopSi3obCQKch623KD3nn+c7wWk+eE/Zto+UPE8Cb69y7lexy2eVJiWWrr50tqXQQXZ2MrvalDyXwkyLJXsWWdpCfjwpZ4VTqGPOMYUwVNqZw51LQz4PnlUyEHL8IIw8D+dcbZslKsoSqLdF+VeAs7B3+e4tn6GGWCirm3g6i8cjc7rHwuz+UKW9o1xvpFoFd6G9+RI7z04nM7SHfZCYBI+3Sp1FaYLbmZaXS4MntKTPbhr+489g5gR0DcI6HW6pLI16PYudwA5THoBW1jSxVI6WgBepcNfa6o5ILfMQankW4UDl8xbKdMJpIpichFBnxTvr0KwEtyNouRT4V4FYGGOFAmB4r4qFsmTq9bf3ABsaaYhy+hFPzx185FJtNoVbMV3Vs3DOW2qtxUwyY9uTJyYh3FnxmOIc7tzqm8Odmik+nzxa/ThFqZN6PYte4GkReRgo/G8yxlxf/RRltRNPV+4LBcWLfvmqpkTBs6iydLbgkSw1DJVl+3o/zExZz6IC4YJY5CGwysQiOlz5uaIsknrF4q8baYRyehJPZ+d0nHUpXPRTCwtDRfxLT3DbJoIZ20RwZBJ6z6l43Kww1GrzLKIn7WO4C2IqFsrSqXfp7E+AQ4Dfef4I8FgD7VJOA2Kp2p5FeRjK9Syq1Vn4vB4CPs+SEtzxdI5szhQT3FXCUF6P4PdKsYIbVk/Lj+gp+9i33f4bKMoSqbc31H/FNvr7orNpM/BvjTJKOT2w87crX/SrjUit5VmAXT67lKK8SacvVHfAQDoKkZ6qx4YDTjNBN6m9WjyL+DiIBzq3QGp6pa1RVgH1Jrh/H3g5MA1gjNkHrGuUUcrpQTydJVzFsxARIhX6QxXEokq7D3DFYvGexWTcVmL3iFNj0VK9b1jY7yWZzoHPmdGdXXrH26bAneER6rACuFpEUFkx6hWLlDGm0AvBKczTZbRrGGOMk+Cu7iG0VOg8G0/n8HsFn7f6n95SR6tOxZ2Os8a5o470Vj026PfaqnK/IxaZVSIWmbgVC7cnVlK9C2Vp1CsWPxGRPwPCIvIG4F+Bf2+cWUqzk8kZcnkzr1hU8iyqTdabdd48TQjrYcIRi468E6tvqS4WhWl5bs5itYhFOgb+CIRcsdBZHcrSqFcsbgFGgKeA92NbePxFo4xSmp/i4KPqF/6W4NzcQyJdfZZF4bwlehaTiTQi0JJ1xaJ6GCrk99jQmOtZrJYEdyYOgUjRs9C8hbJE6lo6a4zJi8i/Af9mjNEpQ0rhYl7LsxiemR0rrxW6cs+LLsGzmIxnaA/58cRH7N11IFL12LDfy2Q8s/rCUOm4zVe4PbFULJQlMq9nIZa/FpFR4FngOREZEZGPzHeesvqpRyxaApVzFrXEojPiZyqRmdPevF4m42k6In6YPg7tm+Y9Nuz3Ws/C47UtP1aNWEQ1Z6EsK7XCUH+AXQV1uTGmxxjTDbwUeLmI/GHDrVOalophqHQcvvV7cP9HwRhagr6KvaFqhaE6I35yebNo72IynqEr4oepIegon+Q7m6DfW2hBgi+4CsNQTgPFdHRl7VFOe2qJxW8D7zTGvOBuMMYcBN7j7FPWKK5nMau47uADMLoPDvwYRvcRCfpIpHPk86bkvOr9pFzaw3Yw45RTL7FQJhMZOkMemDkJ7f3zHhv2ewuFgvgjq8iziIO/xQqgeGzCW1GWQC2x8BtjRss3OnkLf4XjlTVCcfBRyYX/+O6S54/REvCSN85wIYe6wlCOWEzGFycWU/EMm3wzkM9Cx/xiEfJ7SWfzVtD8IXtHfrqTz1kPKRCx3XYDLSoWypKpJRbzzZnUGZRrGDe8FPGXhKFGn4ctV9mlquMHK3aerScM1eGIxfQiPItkJkcik2O9GbMbauUsAs5Mi6xTmLcaitdcYfC3OI+R1SGCyopSazXUxSJSKTMmwCpo+q8sljlhqEwSJo/A1lfaAUITh2ntL+08GySfNyQz+Zp1Fp0RO1tichFi4YauevPOor0ankXptLzIavEs3O8QcMQioGKhLJ15PQtjjNcY017hp80Yo2GoNUw8lcXnFQJu247pY2Dy0LXV9iOaPELEuWt3PQs3N1AzZxGyYlIehkqkc3x39zGGJqpf+CacVh/d2WEbr5+nLxTYBDc4s8H9kdWR4HY9C3fJsL/F5jAUZQmskmHDyotNPFOWe3BnJrRtsGKRidOet06pG7JK1NFEEGzn2dagb06C+7afHuRLP3uBv/ne07OS5qW4AtOWHob2zTVnT8+ewx1aHQlu14vwl3gWmrNQloiKhbIoEuWDj9z5Ca0boG2jfZodB4ozLeKp+jwLgK4Wf8FLAJuL+Mnzw7QGfRyfTLL3eOW6AbeJYDhxsuayWSiblucPrxLPwg1DuZ5FBDIqFsrSULFQFsWcVU3RYfD47LAdp71GS2aicCzUH4YCWNcWYqSk+nvv8SkyOcMHXnc2HoHdQ5VnNIzHMnjIE4jVXjYLpdPyVpFn4dZU+B2xCLSsju+lrCgqFsqimFMvET0FrevA44FWKxZ4TvHBAAAgAElEQVShtF2RVPAsnHBUrTAUQF9bkFPTxbv8x49M4vcKLxnsYmtvC8+eqOxZjMdSDARjSD5TcyUUlIShXM8ik4BFVo43DYUEd6t99Ec0Z6EsGRULZVHMmZLnigXYFhPeAL7EKF6PFMQiUUeLEJcN7SFmktnCOY8fmeT8TR0EfV7O3djOvlPRinmL0WiarX7H66grDOUsnc3krWdh8pCrvgprsS1IXlTKw1Duaqh8fuVsUk57VCyURTEnDDVzyuYrwCaVW9chsRFagt5Cm/LppBWNtlDthXTr2u1M7FPTSUajKY6Mx7nsDDsedbCnhUQmx0h0bk3EeCzNgNeGv+gYqPk5oUCZZwFVByANTcT53X96hL//yYGa77uiuPkJd6CTm+jW5bPKEmioWIjINSLynIjsF5FbKuwPisg3nf0Pichg2f4tIhIVkQ830k5l4SQy2WKNRT4H8bFC+AmwS1bjo067cSsSbq+ntlDtZsebOu2F7uhEnMePWE/h0oEuALZ02zvmI+NzL37jsTQbZdQ2BZxn6JFLyOfkLNK5Yoy/Ssjm3584wVg0zfefPFFIpDcl6bj9Lh7nv7frYWjeQlkCDRMLEfECnweuBXYA7xSRHWWHvQ+YMMacDXwK+ETZ/k8BP2iUjcrisfO3nYt+YsKGb0rnRoS7IDFpmwk6q6Bmkhn8XiE4z0hVly3dEXxeYf9wlEcPT9AZ8XNGj73oDXRbITkyNvuinsnlmUpk6M2P2nyFp/bn+L2CxyO2gjtQ/Q7cGMOjh8fpabUFg08ONfEwIXekqktBBLWZoLJ4GulZXAHsN8YcdEayfgO4oeyYG4A7nOd3Aa8XsQvjReQ3gIPA3gbaqCyCdDZPNmeKnkXCyRGEOosHhTshMUEkUJx6N5PM0hbyIzVqHwD8Xg9be1t46tgUjx4e58ozewrntYX8dLUEOFpWnDcRs3f7XRmnxqIORISw32NzI25CODUz57jRaJpT0yneculmAj4Pz5+ae0zTkInNnuHhfi8NQylLoJFisRk4WvJ6yNlW8RhjTBaYAnpEpAX4U+Cj832AiNwkIrtEZNfIiM5kerEotid3xcLWUxDpLh4U6oTUDG2BYlHeTDJDax0hKJeL+zvZdypKMpPnldtmh5S2dIfneBZjsTRi8rSmh+taCVUw1W1THnQuqhUK2NyQ11l9rQx0hRmaaOKQjttx1sXNxeiKKGUJNFIsKt0+li8lqXbMR4FPGWPm9ZuNMbcZY3YaY3b29VUfnaksL27dRDEMVcmzsPmF9f4UEzG7uiiayhZaedTDdRduZH17kFdu6+XCzR2z9vV3RRiaSMxanTQeS9NupvGbTM2eUKUU2pS7d+AVwjVui5GB7gibOptcLNxZFi6F8JoW5imLp/7/uQtnCChdjtIPHK9yzJCI+IAOYBw7YOltIvK/gE4gLyJJY8znGmivUidzmghW8ixcsQgkiaZs6Go6mWWzk7iuh762IF967+UV9w10RUhkcozF0vS22pVTo9EUffkRfF6payVUwVR3Wl6wehjqyFicjrCfjrCfzV1hfr5/lHQ2X+yN1UykY7N7YtVI3CtKPTTyL/0RYJuIbBWRAHAjcHfZMXcD73Wevw34sbG80hgzaIwZBD4N/A8ViuYhUcmz8AaKFyWwOQugx2svUBPxtM1ZBJfn/sRNcpfe4Z+YSrJZRvGILMizCLpiMY9ncWQ8zoCzCmtTZ5i8YVbRYFORjhW/C5SshlKxUBZPw8TCyUHcDNwLPAPcaYzZKyIfE5HrncO+jM1R7Ac+BMxZXqs0H27OYpZnEe6a3bTPCUl1e2zoY2QmxVQ8TVdLYOEfWKGYbKDLXgCPliyfPTWd5Ez/BOINzF6ZVYNCGMrjtYKXmisWJ6eTnNmSht1fZ0PACtTwTJPOvigPQ/lVLJSl08gwFMaYe4B7yrZ9pOR5Enh7jff464YYpyyaeHkldmKyEHYq4LxuJwr0cWAkSt5Ab+sCxeLQz+FHH4Wtr4bX/llBkDojfiIB76wVUcPTKTZ7xupeNusS8nusZwEVp8qlsjkm4xledfJf4NATbBl4Gria8VgT1lrk81YUSr08r996fhqGUpZAEwZclWYnVmk1VLlYBFrB46Ude+F1l5p2twTr/6BcBn7xWTu9bt99cGpPYZeIMNAdKYShjDGcmk7SZ0ahs/58BbieheO9BFrmhKFGo2lCJsHGqcft8cd/iddkGa1QQd4Qjj0K336/nW9ei2zS9rYqrbMAp+WHJriVxaNioSyYomdRkrMoFwuPB0KdhDKTtAS97D5qV0zN8Sye+wH89P+tfNd7/HGYOQmv/XN7Z3zggVm7B7oihTDUVCJDOpOlKztSV7fZUsIBr63gBpvkLhOLkZkUm3PH8HsMbL8OTy7DOf7hF8+zeOR2GHkWHv9K7WMLI1Ujs7drM0FliahYKAsmkc4Vp+QZYyu4w51zDwx3IslpNndGmE5k8Yhd8logOQUPfhye+R7suWvu+Yf+09YInPlq6L8cjvxy1u7+rjCT8QzRVJahiQRdZoKA5BeU3AYnwZ3N2WW4gbY5OYuRmRQbcyfweTxw3psB2OE9+uJ4FpkEDD9tn598qo7j3Sl5ZZ6FP6LtPpQloWKhLJhZTQRTM5DPQrh77oGhTkhOcfY6uzKnry04e6np0C776I/As9+fncg2Bg7/woqELwgbL4Lp4xAfLxzirk46Oh7n0FiMvtyIff8FikXY78UYSGXz1T2L/DG8kQ5Ydx6Euxg0xxmLvgiexdgB20pl06X2uycm5j++0HG2QhhK230oS0DFQlkwiXSWsL+kLxRU9ixCHZCc5FXn2OrrV59TtkLp2GMQbIOXfcCGm0afL+4beQ5iIzD4Cvt6ndNWbPiZwiFur6gXRmMcGo0x4B3D51nYslkobVPuLJ8tq7MYjaYY5ASe3rNtgr1zgHVmhLHYi+BZTDlNEM56rX0cPzj/8YWRquVhKB2ApCwNFQtlwcRKPYuCWHTNPTDUAckpzt/UwZd/ZyfvfukZs/dPvAA9Z8MZLwPxwOGfF/cd+pndtuVK+7pvu13a6oZkgHVtQXpaA+w5NsX+4SjbQlOIPzy7IK0OZg1AcldDlVSGj04n2GxOQvdZdkPHAN3ZYaYTWdLZBs+ImBqy33vLVfb1xOH5j09XC0OFdemssiRULJQFE09naQk6YpGs0OrDJdRh79JzWda1hfB4SuowjIHJI3blUrgTNlwwVyw2XmzfA2woqmcbnCr2lRQRLtrcwc/2jXJgJMbZwQnbQLCORoWltDiFgrFUzg5uMvlZIZvsxFFCniz0FMUinJsmZBJMJhocipoasjPNW/pskj86PP/x1RLcFZYEK8pCULFQFkwslZvbF6qSZ+GGplIVRqAmJqyQdDrexhmvsPH56RMw/oK9gz7zNbPP6dtuQ1UluY1Xby+GtgY84wteNgvQ6ojFTDJTbFnieEzGGILTL9jkds/Zdl9HPz6Ph77cCJPx6lP1loXp40UBbF1nJxLOR6ZKzsIfUc9CWRIqFsqCiaayhbvxomfRMfdA19uolJSdGrKPbg+nM15mHw/9J+y/314ct75q9jl92+3d8fSxwqbLtnTxe6/cyp+8/gzCyVPQtXXB36fdmdw3kyxJ1DuJ9OlklnWZIXw+b1HYOvrxeoS+/HChLXrDiI0Uh0q19C3Bs4jYepV8bvltVNYEKhbKgommsoW7cRKTNkntrdAMwBUQV1BKiTkt5d253Z0DsP4CeOwO2PMtGHzl7MaEAL3b7ePoc4VNIsINl2zmlb1RG9rqXrhYuG3To6ksRBwPKT4G2JVQm3LHybUPgM+pEWnfjNfjoS8/wkT5xLzkNJzcMyvnsWjyOftv5+ZgWtfX51n4gnN/H27Lcg1FKYtExUJZEPm8IZHOzfYsKnkVUAxDJStMlYuN2seWkjkVV/7ftgJZvHD57809p2vQxu1Hnpu7z10l1H1mXd+jFFf4oqWeheMNWbE4hsfNVwD4Anjb19OXH2E8VhKGSkzCXf8Fvvv78PPPLNiOOSQmrOgUxKLPith83kE6NterAB2tqiwZFQtlQbitPgoJ7sRk5WWzUBKGquJZ+EKzu6NuuBDedSe88+vQdcbcc7w+6N1WXSx8IWirf+iRS8DnIejzMJ3M2AS3x1sQi4mJMTrzkwQ3nDPrHE9HP5tkbLZnsfc79nttuco+P7mHJeF4NwWxiPTY5Hulf0+X8pGqLu4AJG35oSwSFQtlQbjztFtneRZVxCLY7hxTwbOIj1qvonzlUqQbQu3VDeg9x/ZIKu9EO3bAeh4LaCBYSlvIZ8NQHo9N1jsX6szwfkQgUiYWdA6w3owy4VZxG2MLCwdeCr/2V1ZAd//LomwpUC4WZV5PRTLxKmLhhqE0ya0sDhULZUFEnXnas3IW1TwLr8/mMyqGoUZmh6DqpW+7vSBOlUzszeett7Hu3IW/n0NbyG8T3ACtG+wqJEDG9+P3ehB3JZRLez8tJEhEnQv3xAv2O535ansXf+6b4MiviuG2xTBHLJx8SmK88vFQRxhKxUJZHCoWyoJwxaIl6LMX6eRUdc8CClXcc4iNLWjmRAG3kvvEE8Vt4wftRXD9BQt/P4fWkM/mLAA6NhdWXIWmDpD2d8wt9Ovox+vx4J1xVmYdfcQ+9l9hH8+5xoaM9t23aJsKYuGKREEsFuNZqFgoS0PFQlkQ8VKxSM/YC+K8YtE5N8ZujA1DRRbhWXRusauChh4ubjux2z4uQSzagr6CENIxYD2CTIKu2AFm2s6eGy7r6MfnEYKxY7YB4dGHbBjMXebaOWBzMM9+f/Ero+JjVmy9dmlvYXVYfD7PIl7Zs9DRqsoSUbFQFsRMaRhqvoI8l3Dn3DBUcsrOqlhMGEoEBi63faVyzsX98C9sQrx948Lfz6Et5LMJbrCeBZAbfo7O9EnS3dvmntC+GfGH2Jg5SjQ6AyeftPmKUrZfZ+tJ6ukWW4n4+NxZ2t7A/J5FOjp7Sp6LhqGUJaJioSyIWKlYuOGlajkLqByGKiybXUQYCuxqo3TM3s1HR6xnseVli3svh46wn+lEhnzeFJbfph65A4whv+GSuSd4PKS7zmIgd5T4C7us+A1cMfuYM19jL/DP/WBxRsXHZouFiPUuqomFMXPnb7sUPAtdDaUsDhULZUHEUnYuRcjvKXoWtcJQyanZoZi4IxYLbPhXYOBKW8z32B3w8Bfte++4vvZ589DVEiBvsN5F5xkQ7kKGHiHqaSU4UEEsAHrPZXNuCA7cby/QGy6avT8Qsd1iDz6wuPBPfGxuYWK4q3qCO5OwYcFKYuGOVtU6C2WRqFgoCyKasgV5IlIML1UrygPrdeRzs2cpuNXbi/UsvD646ma7AmrfD+Gid9i520ugO2Krs8djaXsHf+HbyOYNPwm8hr62cGUztuzEbzKEj/4EBl9erPAuZft19gK9797itvJlv5UwZm4YCuzy2Wqehes1BCuIBTjNBGcq71OUGlTo0aAo1YmV9oWab5aFiyskblsQsGEokcV7FmCXqF7/v22I64xXLP59HDodsSgU2V3ybn6SuIAf7Zrh/W2V54a3nHkVe739dDENF99Y+Y3Xn28T74/+k53Ct/c7MPIMXPnf4cK3VTcoOWWHSs0Ri65Zbdpn4QpBpdVQYP/9UyoWyuJQz0JZELP6QiUnbcjDXa1TCTdEVZrkjo3a7ZX6SS2EjRfZZoOLLMQrpbvF9SycJLcIQ5k2WkI+wu7sjjIioQBf6PgQP7jos9XbjIjAq/7Ielc//hu7JLfvPPjVF+zy4WoUaizKw1BOWK+Sd+KOgw20VX7PYPuckbGKUi/qWSgLwnoWdbT6cCk0EywRi/jo4kNQDaIzYgWvtIvsyakk69pCVc8RETpaIwynK4SfSuk+E95+B4zttwIXG4Vvvgee/w+49N2Vz3GXx5Z7FpFum5dITs4VEjfUVy0MFWwripCiLBD1LJQFEUuXtievUZAHlTvPxkaaTixCfi/hgHdWr6cTUwk2dlYXC4CuSGBu59lKtPTAlpfa6u7OAeg7F478svrx5dXbwK8OjvHwSYOBynmLwpS8ecRCw1DKIlGxUBZENJWjNVAShqrlWbj7Sy9u0eFia/ImojsSYNy58OfyhpPTKTZ3Vk5uF85pCTARW8QApE2X2nnimWTl/WVisfvoJP/P95/ha09FGYumKzcTTGnOQmkcDRULEblGRJ4Tkf0ickuF/UER+aaz/yERGXS2v0FEHhWRp5zH1zXSTqU+jDFEk5nC/AcSE7U9C3/Y3um6tRXpuL1gNaFY9LYFGJmxjQFHZlLk84aNHfOLRWckYFdQLZRNl9gE9sizlffHx2xthNMt9t+fOE5XS4BzzhxkMpFmZuLk3HPq8SzS0fpWYylKGQ0TCxHxAp8HrgV2AO8UkR1lh70PmDDGnA18CviEs30UeLMx5kLgvcBXGmWnUj/JTJ5MztjJcsbYMFQtzwJspbZbWxFzJr21NJ9YbOwIc2LS3ukfm0w422qFofxEU1nS2QVegHudLrZj+yvvL6mxiKWy7Do0zmu39/EbL7vANrg9cHjuOemoHXxUaQkvFFejpTXJrSycRnoWVwD7jTEHjTFp4BvADWXH3ADc4Ty/C3i9iIgx5nFjzHFn+14gJCKV1y8qLxpuO4z2sN96B/lcbc8CrFi4nkXUnZDXXDkLgE2dIaKpLDPJDMcdsdhUIwzV5ayimkws0LuIdNtlsGMHKu8vqd5+5sQ0eWNHyG7q7cEXDHPk2NG556Si1b0KKLaMrzQTXVFq0Eix2AyU/kUPOdsqHmOMyQJTQPni+7cCjxtjUg2yU6mT6YQjFiFfsYo4Mk9fKJeWdcVCvCb2LDY5IacTU0kOjETpjPjpisyzLBib4AaYjC8ib9Fz1jyeRbEgb8+xKbweYfuGNhAh1N5HNjpW8H4KpGeqr4SC2TUvirJAGrl0VipsK2+/Oe8xInI+NjT1xoofIHITcBPAli1bFmelUjezPAu3RqCezrEtPfbil8/ZGdIiTbcaCqC/2/ZPemE0xv7hKGf1tdpK9XnoqrDktpzxWJqvPXSY/cNR2sN+Xrmtj187b52dkbHn2/bfxVNSy2HMLM9i/0iUM3tbCPntMR0962ibmObRwxOzE/CpaPUaCygutZ2vEaGiVKGRnsUQMFDyuh84Xu0YEfEBHcC487of+A7w28aYir66MeY2Y8xOY8zOvr7mu/isNqadeQ/tYX/FpZ1VaV1vawOiwzYMFe5eekFeA9jUEaI97GPXoXGOjsc5a908d+kObhiq2vLZRDrHLd96kh8/O0xH2M9YNM1nf7SP2356ELrPglwaJo/MPik1Y2eRt67DGMMLozEGe4srnCId61jvi/LoobIeUdVGqrq4k/a01kJZBI38H/sIsE1EtgLHgBuBd5Udczc2gf1L4G3Aj40xRkQ6ge8Dtxpjft5AG5UFMCsMtRCx6HDuGaaOwvQQtC2+lXgjERHO39TBLw/Y7/aSLbVDbJ1hPyIlld9l3PXoUU5MJfmfv3khF2zuwBjDl372Anc/cZxXdnezA+yUve6txZMKvbN6mYhnmE5k2VoiFkR62BhI8NSxKZKZXMHjIDUzf4+scKf16uabtKcoVWiYZ+HkIG4G7gWeAe40xuwVkY+JiNsi9MtAj4jsBz4EuMtrbwbOBv5SRHY7P80X5F5jTCdtx9mWgK+4tLPS7IRyOp0Q4eQRGC+7MDYZb9ixHoCtvS2cu2GekI6Dz+uhPeSv6Flkcnnu3XuKq87q4YLNNl8gIrz3ZYP0tQX556cNiAcmDs0+sdDCfR0vjEYL9hSIdNPhSWKyafYeL0lWJyfnny3i8doFCepZKIugobEAY8w9wD1l2z5S8jwJvL3CeX8L/G0jbVMWznQiQ1vIj8cjzqS77tongb2ABdvswKLUTPU+Sk3A5YPd/P/vuJj1bSH7PeugM+KvmLPYdWiCqUSGNzoC5BLweXjzxRu5/T8PEe9cT2T8hdknuosAWtfxwjHb2vyMnhJRjvQQ9nvpSM/w9PEpXnJGF2TTNgw1n1iA/Z3FNWehLByt4FbqZjqZoT3s3F+UD+aZDxErEIediGITiwXAOevb6KixCqoU2/Jjbhhq16FxIgEvl1YIZ712+zo8AgezfTYMVUpsxHoc4W4Oj8XoaQ3QFiqxJ9yNR2BHR5anTziehdt7q1bdS6S3GOZSlAWgYqHUzUwyawvyoPKshfnYfJl9FA+sK6/NPL3papnbH8oYw+6jk1w80Im3gofSGQlwUX8ne+JdMHXMegYu0RHrAXh9HB6LM9hTlrR2PLodXVmeOzljCwIL7eJreBYdm+2o18XOBVfWLCoWSt3YMJTPXmhiowsTi/Ouhw0XwpX/rXqF8WlKV8TmLEzJBfjEVJLhmRQX91e/09852MXTyR7S2axN/rvEhqGlj3zeMDQRp7+rrDDQWdW0rTVNJmfYNzxTFItaRZKdW+wc7tiobfux63b4wZ/CZIUiP0UpQcVCqZvpZNaGQzJxu7SzpY4aC5dIN9zwOTvVbpXR3RIgmzNEnfnkYBv/AVyypfrF+4qt3Zz0biSezs0ORUWHoaWXE9NJMjnDGZU8C/GwJWh7QT17YqZkHnoNz6J0scGeb8Gjd8CRX1nB0JGryjyoWCh1kc8bpuJpW4QWW+IM7VWGW8U9Gi2Gkp4YmqS3NcCmeXpLbewI4+/eQiydt6vEwN7tz5yE9s0cHbfJ7S3dZSvOPF5oXUc4Ncr69iD7hqPF+Re1chZdzkq0oUfsDPOBK+DNn7FDmR79p7q/s7L2ULFQ6mIqkSFvnCK0alPc1iibnTCR20/KGMOeY1Nc2N9ZswL8ksF1HMl1kx07aDdET9lCvY4BjoxVEQuwhY4zJzh7XRv7h2fseYHW+YvywP7Oes6GJ75uPYkr/7vtgHvem+DJO+HkHjj1tPU64lqPoRRRsVDqwp3z0N0SKCka06p5oNByw/UEjo4nmE5kudCprZiPy87o5JhsYOaE0yPKzV109HNkPE5va6DyWNe2jTBzkm3rWjk1nSI1eRza1s89rhJX3GSL9152c7Hm5Yr327Did38f/u2/wc8/C9/7Q9uKRFHQsapKnbh1BN0tATjmzFJo3bCCFjUPIb+XdW1BhiasZ/HkMZs/uKi/tlhcsLmDh/ybyU7cb2tQ3NYfnVs4Mn54br7CpW0DxEc5p9eGwGJjxwiuP6M+g7e8FLZ8vexLtMNbvgjP32vDi/ks/OQTsO8+2H5tfe+rrGrUs1Dqwh3w0x0J2Jh6pGfVrWpaCmf0tHBgxFZbP3Vsir62IOvaanfVD/q8eDdeRDydteGfkecg0k0u2MnQRJyBSiEogI5+MIazgrbOIjt1cukDpSLdcMk74Zw3WoHo6If9P1raeyqrBhULpS7cOoLOSACiJ5u2v9NKcd7GNoYmEoxGUzx+ZJJLBmrnK1w2bX8JyRzMHHwYTj4F6y/g8HicTM5wVl8Vz8JJVEeihzmzPUc2GbXexnIhAltfBccfK07gU9Y0KhZKXYzHMrQGfQR8HutZ1BsfXyO4vZ9u/88XSKRzvPzs+leKXbJ1A8/7tpN/4uswcwI2XMTzp6yXsm19lf5UnVtsgeP4QS5vHSeVzdkutsvJ5p02Z3Fq7/K+r3JaomKh1MV4LGXzFfm8XXmjnsUstq9vY317kJ/tG2VdW3DeYrxy+rvC7O18LfGUM9firNeyf3iGlqC3+tJbX8AKxug+zvOfJJszjIeXeabLuvOsIJ18cnnfVzktUbFQ6mJ4JkVfW9A2EMzn7NJNpYDHI/zhG87h8sFu/via7fi89f/XEhHaznkVfx/6L2Tf/Dlo6eWZEzOcs75t/lDW5svgxG4GM/uZ9HTy/PQyr1cJROys8JNPLe/7KqclKhZKXZyaTrK+PQTTzvwq9SzmcP6mDj7y5h2cu6F9wefuHOzmMTmfXfH1nJpOcmQ8zmW15mlsuQqyKbpGdvGc/zz2nZpZpOXzsOECGH4GctnaxyqrGhULpSYzyQyxVI4NHUGYPGw3dtW5TFOpi52D3fS2Bvju7uP85z5bIX/51hpFj5t3woYL8ARb2L/+ukKeY1lZfz5kUzBecVilsobQOgulJqemUwCsbwvBqcN26JEW5C0rXo/wlsv6+YefHmTPsSkuHuiYPV+7Eh4PXP85MIbeBw/wn/tHMcbUvQqrLtadbx9P7YW+7cv3vspph3oWSk2Gp5MArO8I2alunVvs0kplWXnThRu54ZJN7Bzs4gOv21bfSSLg8bBtfRuxVI7jU8nlNap1na2pGX56ed9XOe1Qz0KpyUlXLNpDtsJ406UrbNHqxOMRfu+VixsMdY6zxPb5UzO1PZKFIGJDUadULNY66lkoNTk6nqAj7KdVUrYvlOYrmo4t3RECPg/7G5G3WLfDdqVN6DjWtYyKhVKTw2MxOwN6dJ/d0ORjUdciXo9wdl8rz5ycXv43X+9MNlTvYk2jYqHMSz5vODLujPYcedZu7Dt3ZY1SKnLRQAcHhqPMJOfOA18SvdttsaDmLdY0KhbKvBybTJDK5hnsbbHr7ds26hyLJuWSgU7yBp4amlreN/aH7AyMU3uW932V0woVC2Venj5hwxrnbWiBE7ttkZbSlGxf30bY7+VxZ6TrsrL5JbaSO9mAMJdyWqBioczL3mNTdIT9bM4dh8Qk9F++0iYpVfB5PVy6pZNfHRwjlzfL++aDr7RtXo78annfVzltULFQqpLN5Xnk0IRtt/3CT2xTORWLpubV2/uYjGfYfXSZVy71nWsn6R18YHnfVzltaKhYiMg1IvKciOwXkVsq7A+KyDed/Q+JyGDJvlud7c+JyNWNtFOpzKOHJ4imsrz8zE47Ma3/cs1XNDmXD3bTGfHzncePLe8bezx2INKRX8L4C8v73sppQcPEQkS8wOeBa4EdwDtFZEfZYe8DJowxZwOfAj7hnLsDuFWMk/cAAAewSURBVBE4H7gG+ILzfsqLRD5v+OYjR+lrC3J54mcQHYbz37LSZik18Hs9vO0l/TxxdIpf7B9d3je/4K0QaIUH/6cdAausKRrpWVwB7DfGHDTGpIFvADeUHXMDcIfz/C7g9WIb29wAfMMYkzLGvADsd95PeREYi6b49I/28cKpCf5gy0F8D3/RehVbrlxp05Q6uPaCjWxb18qn7n+ee/eeJJnJLc8bh7vgNbfC2H74xrvh55+BfffDyPN2mp5Z5jyJ0lQ0st3HZuBoyesh4KXVjjHGZEVkCuhxtv+q7NzNDbEyOQ1331x8PesP3lTZPg/znD8eTzM0EQdT3CPOM1P63MzeV+kziufP2lF+YOGh9HNq2Zs3htcBvx3J0bvPZ9s9vO4vtB/UaULA5+Ev3rSDj//gGT734/18/oH9dIT9BH0efB5PXb/G6seE2OC7mZdPfJ/Bn30TnynWdBg8JD0RcuIHII9gxOPsEwwe+xcmgin7y+1uCTDYU2Xe+Jqmzv9z3WfCr/1VQy1ppFhU+pbl16pqx9RzLiJyE3ATwJYti5wS5vEW5hmXvHENE2scU2VfdibFjJmZsx2k8FJqvHdxl6fyISJI+XvP/oiKNkrJ9kjAy0B3hI6OLthwIfRfYWPWymlDd0uAj//mRTx1bIqnT0wzHkuTyuTI1LFKqvZ90Q4e3nAeu/JZ2tOn6EidoC09TCAXJ5CP4zVZMFYe7E2KQUzePoLzfDbZtiB0tS7im65mFuCptW9qnBkOjRSLIWCg5HU/cLzKMUMi4gM6gPE6z8UYcxtwG8DOnTsX5wMHWuANH13UqQtlnfOjKC8GHo9w8UAnFw/UP+J14VzYwPdWmolG3i4+AmwTka0iEsAmrO8uO+Zu4L3O87cBPzbGGGf7jc5qqa3ANuDhBtqqKIqizEPDPAsnB3EzcC/gBW43xuwVkY8Bu4wxdwNfBr4iIvuxHsWNzrl7ReRO4GkgC/y+MWaZsnSKoijKQhGzSlYw7Ny50+zatWulzVAURTmtEJFHjTE7ax2nWUtFURSlJioWiqIoSk1ULBRFUZSaqFgoiqIoNVGxUBRFUWqyalZDicgIcHgZ3qoXWOYObMuO2rg8NLuNzW4fqI3LxUraeIYxpq/WQatGLJYLEdlVzzKylURtXB6a3cZmtw/UxuXidLBRw1CKoihKTVQsFEVRlJqoWMzltpU2oA7UxuWh2W1sdvtAbVwumt5GzVkoiqIoNVHPQlEURamJioWDiLxdRPaKSF5Edpbtu1VE9ovIcyJy9QraeI1jw34RuWWl7ChHRG4XkWER2VOyrVtEfigi+5zHrhW0b0BEHhCRZ5zf8Qeb0MaQiDwsIk84Nn7U2b5VRB5ybPym0+5/xRARr4g8LiLfa0b7HJsOichTIrJbRHY525rpd90pIneJyLPO3+RVzWRfNVQsiuwBfhP4aelGEdmBbZ1+PnAN8AUR8b7Yxjmf+XngWmAH8E7Htmbgn7D/NqXcAvzIGLMN+JHzeqXIAn9kjDkPuBL4feffrplsTAGvM8ZcDFwCXCMiVwKfAD7l2DgBvG8FbQT4IPBMyetms8/ltcaYS0qWozbT7/ozwH8YY84FLsb+ezaTfZUxxuhPyQ/wILCz5PWtwK0lr+8FrloBu64C7q1m10r/AIPAnpLXzwEbnecbgedW2sYS274LvKFZbQQiwGPYmfWjgK/S38AK2NWPvZC9DvgedlJv09hXYuchoLdsW1P8roF24AWcfHGz2Tffj3oWtdkMHC15PeRsW6t21Mt6Y8wJAOexKSbKisggcCnwEE1moxPi2Q0MAz8EDgCTxpisc8hK/84/DfwJ4A7R7qG57HMxwH0i8qiI3ORsa5bf9ZnACPCPTjjvSyLS0kT2VaWRM7ibDhG5H9hQYdefG2O+W+20CttWYglZs9hx2iIircC3gD8wxkyLVPonXTmMnQZ5iYh0At8Bzqt02ItrlUVE3gQMG2MeFZHXuJsrHNoMf5MvN8YcF5F1wA9F5NmVNqgEH3AZ8AFjzEMi8hmaMeRUgTUlFsaYX1vEaUPAQMnrfuD48lh0WtpRL6dEZKMx5oSIbMTeLa8YIuLHCsW/GGO+7WxuKhtdjDGTIvIgNr/SKSI+5+59JX/nLweuF5HrgBA2nPLpJrKvgDHmuPM4LCLfAa6geX7XQ8CQMeYh5/VdWLFoFvuqomGo2twN3CgiQRHZCmwDHl4BOx4BtjmrTwLYpPvdK2BHvdwNvNd5/l5snmBFEOtCfBl4xhjzyZJdzWRjn+NRICJh4Newic8HgLc5h62YjcaYW40x/caYQezf3o+NMe9uFvtcRKRFRNrc58AbsYtXmuJ3bYw5CRwVke3OptcDT9Mk9s3LSidNmuUHeAtW9VPAKWYnk/8cGz9+Drh2BW28DnjeseXPV/rfrMSurwMngIzzb/g+bDz7R8A+57F7Be17BTY88iSw2/m5rslsvAh43LFxD/ARZ/uZ2JuT/cC/AsEm+H2/BvheM9rn2POE87PX/X/SZL/rS4Bdzu/634CuZrKv2o9WcCuKoig10TCUoiiKUhMVC0VRFKUmKhaKoihKTVQsFEVRlJqoWCiKoig1UbFQFEVRaqJioSiKotRExUJRFEWpyf8BhxGKe9DutLsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79d40bc668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trte.groupby('data')['AMT_CREDIT-d-AMT_ANNUITY'].plot(kind='hist', bins=50, legend=True, alpha=0.8); plt.show()\n",
    "trte.groupby('data')['AMT_CREDIT-d-AMT_ANNUITY'].plot(kind='kde',  legend=True, alpha=0.8); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-21T11:20:30.172825Z",
     "start_time": "2018-07-21T11:20:19.640925Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79d4df6518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79d465cba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trte.groupby('data')['PAYMENT_RATE'].plot(kind='hist', bins=50, legend=True, alpha=0.8); plt.show()\n",
    "trte.groupby('data')['PAYMENT_RATE'].plot(kind='kde',  legend=True, alpha=0.8); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-21T11:21:21.506161Z",
     "start_time": "2018-07-21T11:21:13.896233Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79d4a316a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79d40cbdd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trte.groupby('data')['AMT_GOODS_PRICE-d-AMT_CREDIT'].plot(kind='hist', bins=50, legend=True, alpha=0.8); plt.show()\n",
    "trte.groupby('data')['AMT_GOODS_PRICE-d-AMT_CREDIT'].plot(kind='kde',  legend=True, alpha=0.8); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
